Victor V. Dyakin

690 total citations
20 papers, 540 citations indexed

About

Victor V. Dyakin is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Victor V. Dyakin has authored 20 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Biochemistry. Recurrent topics in Victor V. Dyakin's work include Amino Acid Enzymes and Metabolism (6 papers), Alzheimer's disease research and treatments (6 papers) and Protein Structure and Dynamics (5 papers). Victor V. Dyakin is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Alzheimer's disease research and treatments (6 papers) and Protein Structure and Dynamics (5 papers). Victor V. Dyakin collaborates with scholars based in United States, Germany and Canada. Victor V. Dyakin's co-authors include Ralph A. Nixon, Joseph A. Helpern, Oliver T. Wolf, Mony J. de Leon, David N. Guilfoyle, Karen Bulloch, C. Vadász, Bruce S. McEwen, Maria F. Falangola and Karen Duff and has published in prestigious journals such as NeuroImage, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Victor V. Dyakin

20 papers receiving 536 citations

Peers

Countries citing papers authored by Victor V. Dyakin

Since Specialization

Citations

This map shows the geographic impact of Victor V. Dyakin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Victor V. Dyakin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor V. Dyakin more than expected).

Fields of papers citing papers by Victor V. Dyakin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor V. Dyakin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Victor V. Dyakin. The network helps show where Victor V. Dyakin may publish in the future.

Co-authorship network of co-authors of Victor V. Dyakin

This figure shows the co-authorship network connecting the top 25 collaborators of Victor V. Dyakin. A scholar is included among the top collaborators of Victor V. Dyakin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victor V. Dyakin. Victor V. Dyakin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enigma of Pyramidal Neurons: Chirality-Centric View on Biological Evolution. Congruence to Molecular, Cellular, Physiological, Cognitive, and Psychological Functions 2024 ·Symmetry ·Victor V. Dyakin, (unknown)	1
2	Arrow of Time, Entropy, and Protein Folding: Holistic View on Biochirality 2022 ·International Journal of Molecular Sciences ·Victor V. Dyakin, Vladimir N. Uversky	3
3	Fundamental Cause of Bio-Chirality: Space-Time Symmetry—Concept Review 2022 ·Symmetry ·Victor V. Dyakin	2
4	Racemization in Post-Translational Modifications Relevance to Protein Aging, Aggregation and Neurodegeneration: Tip of the Iceberg 2021 ·Symmetry ·Victor V. Dyakin, Thomas Wısnıewskı, Ábel Lajtha	11
5	Fundamental Clock of Biological Aging: Convergence of Molecular, Neurodegenerative, Cognitive and Psychiatric Pathways: Non-Equilibrium Thermodynamics Meet Psychology 2021 ·International Journal of Molecular Sciences ·Victor V. Dyakin, (unknown), Laura Beth McIntire, Vladimir N. Uversky	8
6	Racemization hypothesis of neurodegeneration (RHND) 2020 ·Alzheimer s & Dementia ·Victor V. Dyakin, Ábel Lajtha, (unknown)	2
7	Molecular Chirality as an Integral Biomarker of Lactation, Nutrition and Cognitive Development Express-Review 2020 ·American Journal of Biomedical Science & Research ·Victor V. Dyakin	1
8	Chiral Interface of Amyloid Beta (Aβ): Relevance to Protein Aging, Aggregation and Neurodegeneration 2020 ·Symmetry ·Victor V. Dyakin, Thomas Wısnıewskı, Ábel Lajtha	8
9	The Chain of Chirality Transfer as Determinant of Brain Functional Laterality. Breaking the Chirality Silence: Search for New Generation of Biomarkers; Relevance to Neurodegenerative Diseases, Cognitive Psychology, and Nutrition Science 2017 ·Victor V. Dyakin, (unknown), (unknown), (unknown)	11
10	Neurofilament subunits are integral components of synapses and modulate neurotransmission and behavior in vivo 2015 ·Molecular Psychiatry ·Zhen Yuan, Henry Sershen, Veeranna, Balapal S. Basavarajappa, Ashok Kumar, A. Hashim, Martin J. Berg, Ju‐Hyun Lee, Yutaka Satō, Mala V. Rao, Panaiyur S. Mohan, Victor V. Dyakin, (unknown), (unknown), Ralph A. Nixon	96
11	Functions of neurofilaments in synapses 2015 ·Molecular Psychiatry ·Zhen Yuan, Henry Sershen, Veeranna, Balapal S. Basavarajappa, Ashok Kumar, A. Hashim, Martin J. Berg, Ju‐Hyun Lee, Yutaka Satō, Mala V. Rao, Panaiyur S. Mohan, Victor V. Dyakin, (unknown), (unknown), Ralph A. Nixon	12
12	The contributions of myelin and axonal caliber to transverse relaxation time in shiverer and neurofilament-deficient mouse models 2010 ·NeuroImage ·Victor V. Dyakin, Yuanxin Chen, Craig A. Branch, Veeranna, Aidong Yuan, (unknown), Asok Kumar, Corrinne M. Peterhoff, Ralph A. Nixon	19
13	In vivo MRI identifies cholinergic circuitry deficits in a Down syndrome model 2008 ·Neurobiology of Aging ·Yuanxin Chen, Victor V. Dyakin, Craig A. Branch, Babak A. Ardekani, Dun‐Sheng Yang, David N. Guilfoyle, Jesse Peterson, Corrinne M. Peterhoff, Stephen D. Ginsberg, Anne M. Cataldo, Ralph A. Nixon	43
14	Quantitative MRI reveals aging‐associated T₂ changes in mouse models of Alzheimer's disease 2007 ·NMR in Biomedicine ·Maria F. Falangola, Victor V. Dyakin, Phil Lee, (unknown), James S. Babb, Karen Duff, Ralph A. Nixon, Joseph A. Helpern	46
15	2-PMPA, a NAAG Peptidase Inhibitor, Attenuates Magnetic Resonance BOLD Signals in Brain of Anesthetized Mice: Evidence of a Link Between Neuron NAAG Release and Hyperemia 2005 ·Journal of Molecular Neuroscience ·Morris H. Baslow, Victor V. Dyakin, (unknown), Basalingappa L. Hungund, David N. Guilfoyle	19
16	Application of a non-linear image registration algorithm to quantitative analysis of T2 relaxation time in transgenic mouse models of AD pathology 2004 ·Journal of Neuroscience Methods ·Maria F. Falangola, Babak A. Ardekani, Phil Lee, James S. Babb, (unknown), Victor V. Dyakin, Ralph A. Nixon, Karen Duff, Joseph A. Helpern	18
17	MRI assessment of neuropathology in a transgenic mouse model of Alzheimer's disease 2004 ·Magnetic Resonance in Medicine ·Joseph A. Helpern, Phil Lee, Maria F. Falangola, Victor V. Dyakin, (unknown), Babak A. Ardekani, Karen Duff, Craig A. Branch, Thomas Wısnıewskı, Mony J. de Leon, Oliver T. Wolf, (unknown), Ralph A. Nixon	94
18	Quantitative measurements of proton spin‐lattice (T₁) and spin–spin (T₂) relaxation times in the mouse brain at 7.0 T 2003 ·Magnetic Resonance in Medicine ·David N. Guilfoyle, Victor V. Dyakin, (unknown), Gaby S. Pell, Joseph A. Helpern	44
19	Volumetric structural magnetic resonance imaging (MRI) of the rat hippocampus following kainic acid (KA) treatment 2002 ·Brain Research ·Oliver T. Wolf, Victor V. Dyakin, Anisha I. Patel, C. Vadász, Mony J. de Leon, Bruce S. McEwen, Karen Bulloch	55
20	Volumetric measurement of the hippocampus, the anterior cingulate cortex, and the retrosplenial granular cortex of the rat using structural MRI 2002 ·Brain Research Protocols ·Oliver T. Wolf, Victor V. Dyakin, C. Vadász, Mony J. de Leon, Bruce S. McEwen, Karen Bulloch	47

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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